OpenAI

Affiliate Manager

• Design and evolve OpenAI’s global partner program framework, including partnership tiers, competencies, benefits, incentives, and engagement models
• Define differentiated partner value propositions across partner segments such as GSIs, advisory firms, resellers, ISVs, cloud providers, and regional ecosystem partners
• Develop strategic partner incentives and growth frameworks, including discounts, co-sell motions, enablement pathways, certifications, and performance recognition programs
• Create scalable partner enablement and training strategies that help partners build technical, sales, and delivery capabilities around OpenAI products and solutions
• Partner with GTM leadership to define partner program KPIs, success metrics, and strategic go-to-market objectives
• Drive cross-functional alignment across Partnerships, Marketing, Product, Finance, Revenue Operations, Legal, and Systems teams to operationalize new program initiatives
• Shape program governance and lifecycle strategies, including partner onboarding frameworks, progression criteria, renewals, and performance expectations
• Lead strategic initiatives that improve partner engagement, partner satisfaction, ecosystem growth, and long-term program scalability
• Conduct ecosystem analysis and market benchmarking to continuously evolve OpenAI’s partner strategy and competitive positioning
• Help define the long-term vision for how OpenAI builds and scales a world-class AI partner ecosystem

Partner Programs

Director

• Own the global McKinsey relationship, including pipeline growth, enterprise impact, and long-term expansion across priority industries.
• Define and run OpenAI’s operating model for the McKinsey partnership, spanning governance, joint planning, and execution cadence across regions.
• Serve as OpenAI’s senior executive counterpart to McKinsey’s global leadership, including relevant practice leadership and QuantumBlack / McKinsey technology leaders.
• Set joint priorities, resolve escalations, and ensure coordinated execution across global and regional teams.
• Shape and lead co-selling of complex, CxO-level enterprise AI transformation opportunities.
• Engage directly with enterprise executives (CEO, CDO, CIO, CTO, Board) alongside McKinsey partners to frame AI strategy, operating models, and value realization.
• Coordinate internal OpenAI stakeholders (product, research, GTM, legal, communications) to support McKinsey-led strategic engagements and lighthouse opportunities.
• Establish and enforce clear IP, quality, and conflict-of-interest guardrails across joint engagements and any co-developed assets.
• Define vertical strategy and lighthouse account selection in partnership with McKinsey across priority industries.
• Build and lead OpenAI’s dedicated McKinsey alliance pod over time, spanning partner management, technical leadership, enablement, and operations.
• Establish durable reporting, metrics, and operating cadence to ensure consistent alliance performance and continuous improvement.

Partner Director – Global McKinsey Alliance

Security Engineer

• Identify paths by which capable future internal AI agents could compromise OpenAI.
• Design security controls - focusing on measures with long lead times that benefit from advanced preparation.
• Stress-test defenses with AI agent evaluations and penetration tests.

Security Researcher, Agentic AI Threats

• Develop and maintain threat models via which advanced attackers could compromise our coding assistants and automated security systems.
• Identify security investments that are especially critical to make in advance; for example, prioritizing by implementation lead-times, costs, and benefit.
• Partner with Security, Infrastructure, Research, Legal, and Preparedness to align on implementation plans and tradeoffs.
• Lead technical execution directly when needed, including prototyping controls, writing and reviewing software, and coordinating engineers across teams.
• Work with penetration testers to close gaps in defenses.

Security Preparedness Lead

• Build trusted relationships with AWS practice leaders, alliance managers, cloud sales teams, architects, and delivery leadership across key SIs and consulting partners.
• Own the in-market operating relationship with AWS-focused SI partners across account mapping, joint pipeline development, opportunity coordination, and executive alignment.
• Drive partner enablement on OpenAI positioning, solution use cases, technical capabilities, qualification criteria, and customer engagement best practices.
• Partner closely with OpenAI Sales, Technical Success, and Product teams to support strategic enterprise opportunities involving SI-led transformation initiatives and AI deployments.
• Identify, shape, and accelerate qualified opportunities emerging from AWS SI partner ecosystems and joint customer accounts.
• Help SI partners build repeatable OpenAI offerings, reference architectures, delivery methodologies, and go-to-market motions aligned to AWS infrastructure and services.
• Drive strong co-sell execution and operational discipline across AWS ACE, Marketplace, pipeline tracking, partner attribution, and deal progression workflows.
• Develop scalable sales plays, enablement materials, field communications, and executive engagement strategies that help partners operate more independently over time.
• Aggregate structured feedback from SI partners, AWS stakeholders, and customers and translate insights into recommendations for product, operations, marketing, and GTM leadership teams.
• Help define the engagement model, prioritization framework, and operating cadence required to scale OpenAI’s AWS SI ecosystem globally.
• Collaborate cross-functionally with Partner SAs, Cloud Specialists, Product, Engineering, Partner Marketing, Partner Operations, and executive leadership to unblock deals and improve partnership execution.
• Represent OpenAI with executive presence in customer, partner, and leadership conversations where commercial judgment, technical credibility, and strategic clarity matter.

Partner Director – AWS SI Partnership

Full-stack Engineer

• Lead a team responsible for deployment and operations of OpenAI’s custom silicon and systems in data center environments
• Own the path from hardware bring-up and validation through production deployment, operational readiness, and sustained fleet support
• Partner closely with silicon, systems, software, infrastructure, networking, data center, supply chain, and external partner teams to ensure successful deployment at scale
• Define deployment processes, operational playbooks, technical readiness criteria, escalation paths, and reliability practices for new hardware platforms
• Drive cross-functional execution across lab bring-up, rack/system integration, data center deployment, fleet monitoring, debugging, and issue resolution
• Stay hands-on technically through architecture reviews, deployment planning, failure analysis, operational debugging, and critical system-level decision-making
• Identify gaps in tooling, observability, automation, validation coverage, and operational processes, and build plans to close them
• Establish clear metrics for deployment readiness, reliability, performance, maintainability, and operational health
• Build a strong engineering culture grounded in ownership, technical rigor, operational excellence, and high-velocity execution
• Ensure OpenAI’s custom hardware platforms can be deployed and operated reliably, repeatably, and safely at scale
• Be a contributor and technical driver for the architecture and design of future ML systems

Tech Lead – Deployment & Operations, Custom Infrastructure

Procurement

• Lead sourcing strategy and execution across enterprise and engineering technology categories, including infrastructure software, engineering platforms, security technology, enterprise systems, IT, and hardware.
• Independently define, prioritize, and lead multiple complex sourcing workstreams, shaping supplier strategy and commercial decisions without regular oversight.
• Own strategic supplier negotiations, including major renewals, enterprise license agreements, infrastructure software commitments, security technology agreements, engineering platform agreements, and hardware-related sourcing decisions.
• Manage and develop experienced category leads, creating clarity, improving commercial judgment, and empowering the team to deliver strategic goals without heavy managerial intervention.
• Build scalable category tools and frameworks, including category cards, negotiation playbooks, supplier segmentation, renewal calendars, reporting dashboards, and escalation paths.
• Partner with senior leaders across the CTO, CISO, and IT organizations to translate technical roadmaps, security requirements, platform dependencies, adoption plans, performance needs, and supplier constraints into sourcing strategies and commercial structures.
• Advise senior leaders on major supplier decisions by presenting clear deal narratives, financial impact, risk, tradeoffs, supplier context, and recommendations.
• Create cost and commercial structures aligned to OpenAI’s business model, including usage-based pricing, flexible consumption models, pooled commitments, ramp structures, scale protections, and performance-based economics.
• Set direction for coordinators and category partners supporting quick-turn negotiations, ensuring routine work moves quickly with consistent standards, strong documentation, and appropriate escalation.
• Establish supplier governance and portfolio reporting across pipeline health, savings, risk, renewal exposure, supplier performance, forecast accuracy, QBRs, escalation management, and value realization.
• Influence difficult or highly opinionated stakeholders by building trust, clarifying tradeoffs, creating alignment, and positioning sourcing as a strategic partner in technical, security, and commercial decision-making.

Strategic Sourcing Leader – Enterprise & Engineering Technology

Financial Planning and Analysis

• Serve as the primary finance partner to the AGI Deployment (Applications) Infrastructure Engineering organization.
• Own the consolidated compute demand forecast, partnering closely with capacity planning and supply teams to inform compute planning and allocation decisions.
• Own forecasting for infrastructure spend across our products, including infrastructure software and other key cost drivers.
• Build and refine the financial framework that connects product usage, model behavior, inference settings, and infrastructure decisions to compute utilization, infrastructure costs, and product margins.
• Develop clear insight into the tradeoffs between customer experience, growth, and profitability, including how latency, throughput, batching, model routing, and token usage affect margin performance.
• Develop frameworks to evaluate ROI on compute and infrastructure spend across products, features, model settings, and user segments, and use those insights to inform investment and optimization decisions.
• Create a durable cross-functional forum for compute economics, bringing together product, infrastructure, capacity planning, and finance to inform allocation, utilization, and margin tradeoffs.
• Lead weekly margin reviews and monthly BvA analysis, and partner with Accounting and Corporate Finance to align internal metrics and reporting.
• Prepare high-quality materials for executive and Board-level discussions.

Director of Product Finance, Compute & Infrastructure Demand

Data Scientist

• Measure harmful or abusive behavior across OpenAI’s products
• Detect fraud, manipulation, coordinated misuse
• Evaluate and improve safety classifiers, rules systems, mitigation systems, and human review workflows
• Design experiments and causal analyses to understand product, policy, and mitigation impacts
• Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks
• Diagnose gaps in safety and integrity systems using behavioral and product data, and help quantify and navigate false positive / false negative tradeoffs
• Translate ambiguous safety risks into measurable problems and evidence-based recommendations
• Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes
• Build zero-to-one analytical systems in rapidly evolving domains

Data Scientist, Safety

Customer Success Manager

• Own relationships with a portfolio of advertising partners, serving as their primary point of contact.
• Guide advertisers through onboarding and campaign launches to ensure strong adoption of OpenAI’s ads products.
• Analyze campaign performance and provide clear, actionable recommendations to improve outcomes.
• Identify opportunities to expand partnerships through increased product adoption and incremental investment.
• Partner cross-functionally with Sales, Product, Analytics, Policy, and Operations to resolve issues and enhance platform value.
• Surface advertiser feedback and insights to inform product improvements and long-term strategy.
• Help build scalable processes and best practices that support the growth of OpenAI’s advertising ecosystem.

Customer Success Manager, Ads Solutions – Spanish Speaking

LLM Engineer

• Own end-to-end material readiness across NPI and production phases, including building the necessary framework and processes for enablement.
• Drive supply planning and execution for long lead-time and constrained commodities including ASICs, HBM, DDR, SSDs, networking, optics, power, thermal, and mechanicals.
• Build and manage material readiness plans aligned to proto/pre-EVT, EVT, DVT, PVT, and mass production schedules.
• Monitor supply health, lead times, inventory positions, allocation risk, and capacity constraints.
• Drive shortage management, allocation mitigation, and recovery planning.
• Coordinate supply commits, forecast alignment, and supply continuity planning with suppliers and manufacturing partners.
• Partner with Engineering to translate product requirements into executable supply chain strategies.
• Drive alignment across Strategic Sourcing, Commodity Management, Manufacturing Operations, Finance, Quality, and Planning teams.
• Coordinate with ODMs, CMs, and suppliers on material schedules, build readiness, and operational execution.
• Lead material reviews, supply risk assessments, and executive-level program updates.
• Work closely with suppliers and manufacturing partners to manage supply continuity and operational readiness.
• Drive supplier accountability around lead times, commits, recovery plans, and escalation management.
• Support commercial negotiations through operational and supply chain insights.
• Coordinate material flow strategies across suppliers, hubs, manufacturing sites, and deployment locations.
• Evaluate second-source and supply resiliency strategies.
• Develop scalable material planning and execution mechanisms.
• Improve forecast management, supply visibility, exception handling, and inventory planning processes.
• Build dashboards and KPI frameworks for supply readiness, shortages, inventory exposure, and operational health.
• Drive continuous improvement initiatives across supply chain execution and operational processes.

Supply Chain Program Manager – AI Infrastructure

• Serve as a strategic finance partner to ChatGPT Business product teams, helping shape product strategy, growth priorities, pricing decisions, and investment tradeoffs.
• Own the forecast for ChatGPT Business self-serve, including revenue, usage, margin, unit economics, leading indicators, and the operating metrics that show where the product is gaining or losing traction.
• Partner with Product, Engineering, Growth, Data Science, and Marketing leaders on product-led growth initiatives, pricing and packaging decisions, experiments, channel strategy, and new product launches.
• Translate product usage, customer behavior, funnel dynamics, and financial data into clear recommendations that influence both long-term strategy and day-to-day product decisions.
• Build planning and performance systems that help the team move faster, including forecast methodology, KPI architecture, decision frameworks, executive narratives, and repeatable reporting.
• Stay up to date on AI, SaaS, product-led growth, pricing, and competitive dynamics to inform where OpenAI should invest and how the business model should evolve.
• Prepare and deliver high-quality executive and Board materials that connect business performance, product strategy, key risks, and strategic recommendations.

Strategic Finance, Product

General Counsel

• Be the primary go-to counsel for OpenAI's marketing organization.
• Partner with marketing, brand, communications, product marketing, growth, creative, performance and events teams on campaigns across digital, print, social, influencer, email, events, and other channels.
• Advise on advertising, consumer protection, endorsements, promotions, contests, claims, IP, privacy, and marketing-related regulatory issues, including FTC, state UDAP, CAN-SPAM, TCPA, and EU/UK standards.
• Review and approve marketing claims, campaign materials, creative concepts, product launch assets, and brand initiatives in a practical, business-oriented way.
• Develop strategies for handling legal issues in creative ways and build processes for scaling flexible solutions that address risk.

Senior Counsel, Product – Marketing

Sales

• Build and scale global onboarding, readiness, and certification frameworks across SMB sales vendors, regions, and sales motions
• Create role-based onboarding paths, knowledge checks, pass/fail standards, and ramp expectations for vendor sellers
• Ensure vendor trainers can deliver readiness programs consistently and at scale
• Design enablement for new products, pricing changes, process updates, and motion launches
• Monitor ramp quality, certification performance, productivity curves, and early quality signals to identify risk early
• Build dashboards, inspection mechanisms, and feedback loops that connect readiness to seller performance and quality outcomes
• Partner with Vendor Managers, Sales Leadership, RevOps, Product, Program Management, and vendor leaders to diagnose and close execution gaps
• Creating scalable knowledge systems and AI-enabled workflows that improve onboarding speed, knowledge retention, and readiness inspection

Partner Programs

Partner Director – Global McKinsey Alliance

Security Researcher, Agentic AI Threats

Security Preparedness Lead

Partner Director – AWS SI Partnership

Tech Lead – Deployment & Operations, Custom Infrastructure

Strategic Sourcing Leader – Enterprise & Engineering Technology

Director of Product Finance, Compute & Infrastructure Demand

Data Scientist, Safety

Customer Success Manager, Ads Solutions – Spanish Speaking

Data Scientist, Safety

Supply Chain Program Manager – AI Infrastructure

Strategic Finance, Product

Senior Counsel, Product – Marketing

Readiness & Enablement Lead, SMB Sales